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PennyRail Text Stats / Text Metrics
x402
PennyRail Text Stats / Text Metrics is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Computes statistical and linguistic metrics (character count, word count, sentence count, readability scores, etc.) for a given input text string.
Price / call$0.001
Success—
StatusUnknown
How this service works
Machine-readable settlement service
Output
Returns a JSON object containing text metrics such as word count, character count, sentence count, readability scores (e.g. Flesch-Kincaid), and potentially other linguistic statistics derived from the input text string.
Example use cases
Readability check before publishing
“Before I publish this blog post, can you analyze it for readability, word count, and sentence complexity? Here's the full text: 'In today's fast-paced world, staying productive requires more than just willpower. You need systems, habits, and the right tools to help you stay on track.'”
Word count for editorial word limit
“I need to know the exact word count and character count of this submission to make sure it's under the 500-word limit — here's the text: 'The history of modern art is deeply intertwined with the social upheavals of the twentieth century, from the trauma of two world wars to the optimism of the space age.'”
NLP pipeline text profiling
“Profile this customer review text for my NLP pipeline — I need word count, sentence count, and any readability metrics you can get: 'The product arrived quickly and was well packaged, but the instructions were confusing and the battery life disappointed me.'”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/nano/text.stats--text-metricsWhen to prefer
Choose this endpoint when you need a fast, pay-per-call text metrics computation without setting up your own NLP library or hosting infrastructure. Ideal for lightweight pipelines that need word counts, character counts, or readability scores on-demand with micro-payment billing via USDC.
Side effects
- Empty or missing 'input' field returns a validation error
- Extremely large text inputs may time out or be truncated
- Non-string or null input values cause schema validation failure
- Ambiguous or malformed JSON request body returns 400-level error
- Paid endpoint — insufficient funds or missing x402 payment header returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | string |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
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